Published Paper Details:

Agricultural land suitability refers to the ability of a portion of land to be fertile for crop production in a sustainable manner. This kind of analysis makes it possible to identify the main limitations agricultural production and enables decision makers to grow crops management capable of increasing soil productivity. The objective of this research is to identify and delineate the soil that can best support crops using a GIS-based and remote sensing multi-criteria evaluation technique of Gandheswari river basin in Bankura. The most suitable approach for spatial analysis of land suitability using Fuzzy-Entropy is the Multi-Criteria Decision Making (MCDM) concept. Several parameters of topography (slope, elevation), morphometric (drainage density), climatic (rainfall, temperature, evapo-transpiration), and soil parameters (sand, silt, clay, soil pH, NPK,) are selected to achieve this goal. All these data are normalized using fuzzification and entropy was used to determine relative importance of criteria and the resulting weights were used to construct the suitability maps using GIS software. The results of agricultural land suitability were extracted with respect to sub-basin level. The Study area has been classified into five categories of agricultural suitability (very high suitable, high suitable, suitable, moderately suitable and unsuitable). The model was tested with respect to its validity as the results were compared with the primary survey using Spearman rank correlation. The validity came out to be 0.98, which is most significant. The results of this research revealed that in the study area, 28.29% of the agricultural land is highly suitable,33.71% is suitable, 12.58% is moderately suitable 14.25% is marginally suitable and11.17% is not suitable for agricultural production. From the Spatial variation of suitability study, It can be shown that in the northern part and around the Susunia hill the not suitable land is found comparatively than the southern part and along the riverside area.